Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

47 results

Time (local)	Label
1988-11-06 10:38:09	ga_ls5t_ard_3-0-0_108074_1988-11-06_final
1989-01-31 10:03:17	ga_ls5t_ard_3-0-0_102081_1989-01-31_final
1989-06-10 09:47:23	ga_ls5t_ard_3-0-0_100077_1989-06-10_final
1989-08-02 10:06:27	ga_ls5t_ard_3-0-0_103081_1989-08-02_final
1989-10-08 10:33:04	ga_ls5t_ard_3-0-0_108074_1989-10-08_final
1990-08-25 09:33:49	ga_ls5t_ard_3-0-0_099079_1990-08-25_final
1990-12-20 09:52:47	ga_ls5t_ard_3-0-0_102081_1990-12-20_final
1991-02-06 09:53:47	ga_ls5t_ard_3-0-0_102081_1991-02-06_final
1991-03-10 09:54:56	ga_ls5t_ard_3-0-0_102082_1991-03-10_final
1991-07-10 10:30:45	ga_ls5t_ard_3-0-0_108074_1991-07-10_final
1991-09-17 10:47:37	ga_ls5t_ard_3-1-0_111068_1991-09-17_final
1991-10-14 10:31:40	ga_ls5t_ard_3-0-0_108074_1991-10-14_final
1991-10-30 10:31:41	ga_ls5t_ard_3-0-0_108074_1991-10-30_final
1991-11-01 08:43:12	ga_ls5t_ard_3-0-0_090081_1991-10-31_final
1992-10-02 08:44:01	ga_ls5t_ard_3-0-0_090089_1992-10-01_final
1993-09-21 08:29:27	ga_ls5t_ard_3-0-0_088082_1993-09-20_final
1994-01-03 10:57:51	ga_ls5t_ard_3-0-0_112084_1994-01-03_final
1994-12-31 09:46:23	ga_ls5t_ard_3-0-0_102081_1994-12-31_final
1995-05-08 09:41:12	ga_ls5t_ard_3-0-0_102081_1995-05-08_final
1995-08-30 09:22:03	ga_ls5t_ard_3-0-0_100077_1995-08-29_final
1996-04-03 09:22:04	ga_ls5t_ard_3-0-0_099078_1996-04-02_final
1996-05-11 09:30:12	ga_ls5t_ard_3-1-0_100077_1996-05-11_final
1996-06-30 10:15:21	ga_ls5t_ard_3-0-0_107075_1996-06-30_final
1996-11-03 10:34:21	ga_ls5t_ard_3-0-0_109075_1996-11-03_final
1996-12-30 08:51:35	ga_ls5t_ard_3-1-0_092074_1996-12-29_final
1997-11-23 09:53:30	ga_ls5t_ard_3-0-0_100077_1997-11-23_final
1998-01-26 09:55:01	ga_ls5t_ard_3-0-0_100077_1998-01-26_final
1998-05-31 09:24:29	ga_ls5t_ard_3-0-0_095073_1998-05-30_final
2003-10-13 10:57:46	ga_ls5t_ard_3-0-0_110074_2003-10-13_final
2004-01-13 09:48:30	ga_ls5t_ard_3-0-0_098084_2004-01-13_final
2004-02-18 10:59:15	ga_ls5t_ard_3-0-0_110075_2004-02-18_final
2004-02-22 10:34:57	ga_ls5t_ard_3-0-0_106076_2004-02-22_final
2004-07-05 10:01:20	ga_ls5t_ard_3-0-0_100077_2004-07-05_final
2005-02-13 11:00:39	ga_ls5t_ard_3-0-0_109075_2005-02-13_final
2006-07-11 10:12:16	ga_ls5t_ard_3-0-0_100077_2006-07-11_final
2006-08-31 10:43:25	ga_ls5t_ard_3-0-0_105076_2006-08-31_final
2006-12-21 10:44:07	ga_ls5t_ard_3-0-0_105075_2006-12-21_final
2007-05-27 10:13:40	ga_ls5t_ard_3-0-0_100077_2007-05-27_final
2007-09-06 09:35:47	ga_ls5t_ard_3-0-0_094078_2007-09-06_final
2008-04-11 10:08:44	ga_ls5t_ard_3-0-0_100077_2008-04-11_final
2008-09-08 09:26:42	ga_ls5t_ard_3-0-0_094075_2008-09-07_final
2008-10-21 10:45:39	ga_ls5t_ard_3-0-0_107075_2008-10-21_final
2009-03-27 10:20:04	ga_ls5t_ard_3-0-0_102081_2009-03-27_final
2009-11-06 10:23:33	ga_ls5t_ard_3-0-0_102081_2009-11-06_final
2009-11-09 10:52:05	ga_ls5t_ard_3-0-0_107075_2009-11-09_final
2010-01-12 10:52:09	ga_ls5t_ard_3-0-0_107074_2010-01-12_final
2010-04-17 10:07:47	ga_ls5t_ard_3-1-0_100071_2010-04-17_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years